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Potholes have become a year-round headache for Canadian drivers. From Toronto to Calgary, no province is untouched by this persistent road hazard. These surface defects are more than just an inconvenience — they cause millions in vehicle damage, increase accident risk, and erode public confidence in infrastructure management.
But what's behind the surge in potholes across Canada? More importantly, what are cities doing about it, and how can technology— specifically AI-based road inspection tools like RoadVision AI—help eliminate this costly problem?
In this article, we break down:
Canada’s pothole problem is rooted in its climate. The country experiences repeated freeze-thaw cycles—where water seeps into road cracks, freezes, expands, and then melts—causing asphalt to break apart. When this happens day after day during transitional seasons, even well-maintained roads begin to degrade rapidly.
Other contributing factors include:
While potholes affect every province, these cities are among the most heavily impacted:
Most Canadian cities still use reactive maintenance systems:
While this method works at a small scale, it doesn’t scale well for large cities. Pothole repair becomes a cycle of report, patch, repeat—not a long-term solution.
AI-based systems like RoadVision AI are helping cities shift from reactive to predictive maintenance.
Here’s how it works:
Using vehicle-mounted or mobile cameras, RoadVision AI continuously captures road surface footage. It detects cracks, surface fatigue, and potholes—even before they become visible to the human eye.
Every section of road is scored using AI models based on severity, spread, and safety impact. This helps authorities plan budget-friendly repair cycles.
See how it works:
RoadVision’s Pavement Condition Survey
Every defect identified is mapped using GPS data. Engineers and planners can view an entire city’s road health on a live dashboard.
Explore this here:
Road Inventory Inspection
With real-time inspection tools, cities no longer need to rely solely on public reports or wait for problems to escalate.
To eliminate the pothole problem long-term, Canadian cities should:
Governments looking for smarter ways to manage their infrastructure can explore the full solution at RoadVision AI.
Potholes are more than just a seasonal nuisance in Canada — they’re a persistent challenge caused by extreme weather, aging roads, and reactive maintenance systems. Traditional repair methods can’t keep up with the growing demand.
That’s why many Canadian cities are turning to AI-driven tools like RoadVision AI to detect road damage early, prioritize repairs, and manage infrastructure more efficiently. By shifting from reactive to predictive maintenance, municipalities can reduce costs, improve safety, and restore public confidence.
For cities serious about long-term road health, the future lies in smarter, data-driven solutions.
RoadVision AI is transforming infrastructure development and maintenance by harnessing artificial intelligence and computer vision AI to revolutionize road safety and management. By leveraging advanced computer vision artificial intelligence and digital twin technology, the platform enables the early detection of potholes, cracks, and other road surface issues, ensuring timely repairs and better road conditions. With a mission to build smarter, safer, and more sustainable roads, RoadVision AI tackles challenges like traffic congestion and ensures full compliance with IRC Codes. By empowering engineers and stakeholders with data-driven insights, the platform reduces costs, minimizes risks, and enhances the overall transportation experience.
Ready to revolutionize your city's road maintenance? Book a demo with RoadVision AI and see how AI can transform your infrastructure strategy.
Because of the country's extreme freeze-thaw cycles and aging asphalt networks. These conditions accelerate road surface cracking and degradation.
AI cannot prevent weather but can detect early surface damage and help schedule repairs before potholes form.
Most cities like Toronto and Calgary offer mobile apps or websites to submit pothole reports. Some cities are now moving toward automated scanning systems powered by AI.